Lectures:
1.Introduction to the design and implementation of measurement systems.
a. Description of the individual stages of implementation,
b. Requirements for measurement systems,
c. Distribution of measuring systems.
2.Basic description of information retrieval and transmission in measurement
information systems.
a. The basic model of the measurement system,
b. Fundamentals of optimization of the measurement information system,
c. Overview of the statistical characteristics of the signals used in the
measurement systems - distribution function, probability density, expected
value, correlation function and spectral power density
d. Methods for measurement the statistical characteristics of the signals
3.Processing of stochastic signals.
a. The measurement signal as a random process,
b. Characteristics of the random process,
c. Random process stationary and ergodic.
d. Random process analysis in time and frequency domains.
4.Characteristics and quality criteria of the measurement information system in the
frequency and time domain.
a. Zeros and poles of the transmission function,
b. Transient and impulse characteristics and their calculation from the
transfer function,
c. The relationship between input and output functions,
d. Frequency characteristics and their implementation.
e. The mean quadratic error criterion.
5.Criteria for the quality of measurement systems according to information theory.
a. The information content of the measurement signal,
b. Input and output entropy,
c. Transinformation,
d. Total and residual signal entropy,
e. Flow information and capacity of the measurement channel.
6.Design of the structure of the measurement system.
a. Definition of input and output signals
b. Simple and branched measurement systems,
c. Calibration of measurement systems.
7.Characteristics of the individual components of the measurement system.
a. Static and dynamic properties, ranges, accuracy, usability,
b. Connectivity options for connectivity of individual components, selection
of individual components.
8.HW implementation of the measurement system.
a. Selection of suitable components for the measuring system,
b. Mutual cooperation and compatibility of individual components,
c. Compliance with EMC.
9.Synthesis of measurement systems in connection with the development of Industry
4.0.
a. Basic characteristics, requirements, implementations,
b. Explanation of the term cyber-physical systems,
c. Energy performance of components,
d. Energy harvesting, autonomous systems.
10.Design of measurement systems and their implementation in the field of IoT.
a. Requirements for components of measurement systems, their properties,
b. Miniaturization, weather protection,
c. Protection against external interference,
d. Choice of transmission technology.
11.HW devices for IoT based on measurement systems.
a. Wireless technologies for IoT. Lora, Sigfox, IQRF,
b. Use of development tools for designing and testing of measurement systems,
c. Means for powering the components of the measurement systems.
12. Effect of interference on measurement accuracy and elimination.
a. Internal interference, external interference,
b. Temperature dependence of the measurement system,
c. Testing the measurement system,
d. Interference Correction Options.
13.Data processing and visualization.
a. A description of the data acquisition, archiving and visualization process,
b. Examples of visualization systems, data bindings, practical examples of
visualization applications.
14.EMC and its impact on measurement systems.
a. Description of EMC issues with focus on measurement systems,
b. EMC parameter measurement methods,
c. Basic principles of transmission of interfering signals,
d. Methods of protection against interfering signals.
Laboratories:
1. Introductory exercise, familiarization with laboratory equipment from the point of view of the design and implementation of measurement instruments systems, training of work safety, familiarization with laboratory tasks, familiarization with concept of a semestral project.
2. Getting acquainted with the given HW platforms for creating measurement and monitoring systems (Raspberry Pi, Arduino, IQRF, etc.), demonstration of basic wiring, design and realization of connection for temperature measurement using DS18B20, implementation of visualization using the selected SW platform, evaluation of the measured ones data, work on a semestral project.
3. Static and dynamic properties of measurement systems. Basic concept of measurement system, dynamic properties in the time and frequency domain with focus on the sensor part, time measurement characteristics of temperature sensors (PT 100, TC), evaluation of measurements, work on semestral project.
4. Deformation measurement. Familiarization with sensors for measurement deformations, inclinometers, strain gauges, demonstration of wiring and resulting signals, depending on deformation, design and realization of wiring of the selected sensor on the HW platform using analog input ports (AI), evaluation of
measured data, work on semestral project.
5. Distance measurement. Demonstration of selected sensor types for distance measurement, ultrasonic sensors, optical sensors, design and implementation of the measurement system on a given platform using I2C digital bus, evaluation of measured data, work on the semestral project.
6. Measurement of displacement. Demonstration of selected sensor types for displacement measurement, LVDT sensors, linear potentiometer, capacitive sensors, design and implementation of the measurement system on a given platform, demonstration of interference on the measurement chain (superimposed interference), proposal of interference correction evaluation of measured data, work on semestral project.
7. Commercial monitoring systems. Examples of selected commercial monitoring
systems, demonstration of their use, sensor connection, data transfer, processing and visualization, measurement on DIXELL, Fiedler-Magr, demonstration of AD4ETH, evaluation and visualization of measured data, work on the semestral project.
8. IQRF technology. Basic Demonstration, MESH Network Configuration, Demonstration of Data Retrieval from sensors, data transfer to the cloud, work on the semestral project.
9. Creation of a measurement system using IQRF modules, demonstration of use of different types of gates for data transmission (GSM, ETH), work on the semestral project.
10. Demonstration of use of LoRa, SigFox, NB-IoT systems for measurement and data transfer, work on semestral project.
11. Visualization of measured data. Visualization options - dynamic web pages, SW systems Grafana, NodeRed, IBM Bluemix - examples of use, work on a semestral project.
12. Electromagnetic compatibility and its impact on MS. Demonstration of EMC impact on MS quality, measurement conduction and radiation interference, proximity field probes, sample measurements in GTEM chamber, analysis of measured data, finalization of semestral projects.
13. Consultation exercises, possibility of substitution measurement, finalization of semestral projects.
14. Consultation exercises, discussion over measurement protocols, presentation of semestral projects, credit.
Semestral project:
* Each student gets at the beginning of the semester, one large project that is processed using measuring and computing. Duration solving of the project is approximately 20 hours. Project Title: Design and implementation of a measuring system for measuring desired variables, examination of the dynamic properties and optimize data transmission. |